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101 results for “Rheology”
Basal force fluctuations and granular rheology: Linking macroscopic descriptions of granular flows to bed forces with implications for monitoring signals
<p>Herein lies user defined functions, submission scripts, and intitial particle data necessary to build a discrete element solver (using MFiX-DEM version 21.1.1: https://mfix.netl.doe.gov/products/mfix/) and run a monodisperse pure granular flow with 5mm beads in a shear cell configuration. Contained within this dataset are particle velocity and force data for the entire collection of particles ('VELOCITY<em>'* </em>and 'FORCES*.DAT', respectively). This dataset also contains particle-force data recorded at the bottom force plate, writen at 10 kHz. Two MATLAB scripts are included for post processing the force plate data. </p>
EBSD data from Condit et al., Rheology of metasedimentary rocks at the base of the subduction seismogenic zone
<p>EBSD and raw electron microprobe data for two schist samples from the Arosa Zone, in central Switzerland</p>
Quartz rheology constrained from constant-load experiments indicate lower strength of the continental crust
<p>Raw mechanical data.</p> <p>Raw EBSD data of the sample OR90.</p>
Sea Ice Rheology Experiment (SIREx) - Model output data
<p>Sea-ice model output analyzed in the Sea Ice Rheology Experiment (SIREx) Part I and Part II. </p> <p>There is one netCDF file per model, per year (1997 and/or 2008). Each netCDF file contains daily output (as means or instantaneous values -- as indicated in the name) for January-February-March of the given year. Please see below for more information on what is included and how to cite. </p> <p> </p> <p><strong>1. Naming convention of the files</strong></p> <p>"Model simulation label" + _ + "year" + _ + "daily_means" OR "instant" </p> <p> </p> <p><strong>2. Variables included</strong></p> <ul> <li><em>U,V</em> : sea-ice velocity in the x,y directions (in m/s);</li> <li><em>A</em>: ice concentration per grid cell (0 -- 1);</li> <li><em>h</em>: mean ice thickness per grid cell (in m);</li> <li>Grid spacing information: centered on u-points (<em>DXU, DYU</em>), v-points (<em>DXV, DYV</em>), or t-points (<em>DXT, DYT</em>) (in m); </li> <li>Grid point coordinates: for u-points (<em>ULON, ULAT</em>), v-points (<em>VLON, VLA</em>T), or t-points (<em>TLON, TLAT</em>) (in degrees); </li> <li><em>maskT</em>: land mask at t-points (0/1 = ocean/land);</li> <li><em>time</em>: time axis (in days since 1901-01-01 00:00:00).</li> </ul> <p> </p> <p><strong>3. Recommended citation usage</strong></p> <p>If <em>all</em> simulations included in the current archive are used in a future study, we ask to cite this archive and the SIREx papers (Bouchat et al., 2022, Hutter et al., 2022 ). If only <em>selected </em>simulations are used, we ask to cite both this archive and the reference paper(s) applying to the selected simulation(s) (as stated indicated in Table 1 of the SIREx papers).</p>
Data set "Narrow, fast, and "cool" mantle plumes caused by strain-weakening rheology in Earth's lower mantle" (G-cubed)
<p>This archive contains data related to the manuscript “Narrow, fast, and “cool” mantle plumes caused by strain-weakening rheology in Earth’s lower mantle” by Gülcher et al., (G-cubed). It contains output quantities and selected fields for the numerical models shown and discussed in the paper (M###). Moreover, it contains the input parametric files implemented in StagYY. Please read the README.dat file for more information. </p>
On the role of rheological memory for convection-driven plate reorganizations
<p>% ==================================================================== %<br> % Data directory for 3D spherical, thermal convection models presented %<br> % in Fuchs and Becker (2022) with a strain-dependent weakening and % <br> % hardening rheology following the formulation of %<br> % Fuchs and Becker (2019). %<br> % %<br> % The directory contains an input_files, MATLAB_Scripts, and each % <br> % model directory with a certain name. %<br> % input_file Contains all the input files for CitcomS % <br> % MATLAB_Scripts Contains all the MATLAB scripts required to %<br> % reproduce the figures in the manuscript %<br> % $ModelName Contains a MATLAB directory for individual %<br> % data from each model, %<br> % a TPR directory for toroidal-poloidal data for %<br> % each degree, and, %<br> % a txt_data for data picked from CitcomS models %<br> % which is then visualized in MATLAB. %<br> % For the models discussed in the paper, surface %<br> % maps plots and surface grd-files are available %<br> % within those directories as well. % <br> % ==================================================================== %</p> <p>MATLAB_Scripts directory: <br> -------------------------<br> To visualize certain data for each model you can run the script <br> Analyze_Citcom_Models in the MALTAB_Scripts directory, e.g., <br> <br> Analyze_Citcom_Models(Name,PlotParam,PlotParam2,S)</p> <p>where, <br> Name is the model name as a string variable,<br> PlotParam a switch to save (1) or not save (0) the figures,<br> PlotParam2 a switch to activate (1) or deactivate (0) plotting, <br> S a switch to define the scaling of the model parameter,<br> no scaling (0), scaling with the diffusion time scale (1), <br> or scaling with the overturn time OT (2).</p> <p>With this script one can visualize all the time-dependent data picked<br> from the CitcomS models. The CitcomS models can be reproduce with the <br> input-files given in the input_files directory. </p> <p>To reproduce the box whisker plots in figures 2, 3, S7, and S8 one <br> needs to run the script CompStat. This scripts reads in the data <br> from all models (from the txt_files directory in the $ModelName <br> directory) and creates a box whisker plot for each model period and <br> plots them again the average lithospheric damage (gamma_L).</p> <p>For more details to each MATLAB script see the help comments within the<br> script. </p> <p>In case of any questions, do not hesitate to contact me via email: </p> <p>lukas.fuchs84 at gmail dot com</p> <p>% ==================================================================== %<br> % =============================== END ================================ %<br> % ==================================================================== %</p>
Data for the paper "The link between subsurface rheology and ejecta mobility: the case of small new impacts on Mars"
<p>Data for the paper "The link between subsurface rheology and ejecta mobility: the case of small new impacts on Mars".</p>
Viscoelastic Deformations for Seasonal Loading—I: on a Homogeneous Earth With a Maxwell Rheology Structure
<p>All the data and figures for "Viscoelastic Deformations for Seasonal Loading—I: on a Homogeneous Earth With a Maxwell Rheology Structure".</p>
Effects of fluid rheology and pore connectivity on rock permeability
<p></p> <p>The pore structure data associated with Figure 12 and Figure 13.</p>
Thermo-Rheological Structure of Martian Lithosphere: Effects of Mantle Iron Content
<p>Dataset for "Thermo-Rheological Structure of Martian Lithosphere: Effects of Mantle Iron Content"</p>
Slip behaviors controlled by rheological and compositional properties of a two-phase mélange in subduction shear zone
<p>%%%%%%%%%%%%%%%%%%%%%%%%%%%</p> <p>mesh</p> <p>This is the mesh code for the percentage of block volume (or area in 2D) within the central mixture region, corresponding to 10%, 30%, 50%, and 60%.</p> <p>%%%%%%%%%%%%%%%%%%%%%%%%%%%</p> <p>0.005_0.2_10</p> <p>this is a typical creep case under the conditions of matrix viscosity of 10^19 Pa s , matrix RSF parameter (a-b) of 0.006 and block ratio of 10%</p> <p>circle_rho.m % the main code</p> <p>a_timestep.txt % save the timestep</p> <p>picture.m % Sample plotting code</p>
Rheology of Rounded Mammalian Cells Over Continuous High-Frequencies
<p>Data underlying the figures in the publication “Rheology of rounded mammalian cells over continuous high-frequencies”, published in <em>Nat Commun,</em> <strong>2021</strong>, 12, 2922.</p> <p><a href="https://doi.org/10.1038/s41467-021-23158-0">https://doi.org/10.1038/s41467-021-23158-0</a></p> <p>Table of contents:</p> <p><strong>1. Dataset</strong>; Excel file containing the numerical data for <em>Figures 1-4 </em>as well as for<em> Figures 2-13, 15-17, 19</em> and <em>Tables S1 & S2</em>.</p>
Rheology of sliding leaflets in coarse-grained DSPC lipid bilayers accompanying files
<p>Molecular dynamics configuration files accompanying the manuscript<a href="https://arxiv.org/abs/2007.05784"> arXiv:2007.05784</a>, published in Physical Review E.</p>
Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"
<p>Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"</p>
Rheology of hexagonal-close packed (hcp) iron
<p>Data used in a submitted paper "Rheology of hexagonal-close packed (hcp) iron" by Nishihara et al..</p>
Experimental data of Magnetic resonance imaging of analog lava flows: Velocity and rheology
<p>Experimental data of two- and three-phases suspension analog lava flow experiments to accompany "Magnetic resonance imaging of analog lava flows: Velocity and rheology"</p>
Magneto-rheology to Lower Blood Pressure
ClinicalTrials.gov study NCT03783117. IPD Sharing: NO. Countries: 1. Publications: 1.
Biological Determinants of Sputum Rheology in Chronic Airway Diseases
ClinicalTrials.gov study NCT04081740. IPD Sharing: YES. Countries: 1. Publications: 1.
HIIT and MICT on Nitric Oxide-mediated Erythrocyte Rheology
ClinicalTrials.gov study NCT04823429. IPD Sharing: NO. Countries: 1. Publications: 6.
Rheological and thermal degradation properties of hyperbranched polyisoprene prepared by anionic polymerisation
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